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Recruiter: I came across your profile, want to set up a 15 minute chat about a data scientist job? Me: No offense but I don't want to talk to you. Send the details via text. Recruiter: Sorry, we don't work like that, we have a process that has to be followed on behalf of the client. At this point I just blocked them. Maybe that's mean, but, if you want my opinion, get better clients if they're making you do stupid crap like this. I want to get messages from recruiters, that's why I'm #OpenToWork, but I know from looking at hundreds of job descriptions that 99% of jobs aren't right for me, and I can tell just by looking at the job description. If you don't give me the option to protect my own time (and yours!), especially right out of the gate, I can't work with you. It's just not practical.

Hello LinkedIn community! As we dive into the promising landscape of the end of Q4, I'm eager to share some market insights in the dynamic realm of machine learning and data science. 📊 Market Insights: The demand for machine learning and data science talent continues to soar, indicating the pivotal role these fields play in driving technological advancements across industries. Companies are increasingly recognizing the need for skilled professionals to harness the power of data and turn it into actionable insights. 🔍 Exploring Opportunities: As a technical recruiter specializing in Machine Learning and Data Science, I'm on the lookout for exceptional talent. If you're a professional in this space looking for new opportunities or if you know of companies actively seeking skilled individuals, let's connect! I'm keen to explore potential matches that align with both talent aspirations and company needs. 🤝 Open to Partnerships: In the spirit of collaboration, I'm also open to discussions about potential partnerships with organizations that share a commitment to advancing technology. If your company is exploring collaborations in the recruitment space or if you have insights to share, feel free to reach out. Let's make Q4 a quarter of growth, innovation, and exciting opportunities in the ever-evolving field of Machine Learning and Data Science. Comment, message, or connect directly to start the conversation! #Q4 #MachineLearning #DataScience #TechRecruitment #MarketInsights #Partnerships #CareerOpportunities 📧 gracemccarthy@harnham.com 📞 929-432-7530

Tech layoffs? Hiring freezes? Wondering if there's light at the end of the tunnel? I’d love to share some good news for Data Scientists on the job hunt. The PDF attached below is sourced from Indeed's Hiring Insights, which you can also download directly from Indeed. Note that not all data science jobs are listed on Indeed, it serves as a gauge of the current job market's temperature. As of August 2023, the data-related job market in the US is heating up! 🚀 👔 Number of Data Scientist Jobs: - 5,385 positions available - Up by 469 since July 2023 - The 1st time increase since the beginning of 2023 👨💼 Job Seekers: - 244,743 of data scientists seeking opportunities - An increase of 20,116 job hunters since July 2023 🤝 Job Seekers per Job: - On average, there are 45 candidates submitted resumes for each role - A slight decrease of 1 since July 2023, indicating reduced competition 📍The top 10 locations for data scientist positions: 1. New York 2. Chicago, IL 3. San Francisco, CA 4. Seattle, WA 5. Boston, MA 6. Austin, TX 7. Dallas, TX 8. Los Angeles, CA 9. Atlanta, GA 10. Jersey City, NJ Have you found job hunting to be more manageable? Feel free to share your thoughts in the comments below. 👇 #DataScienceJobs #JobMarketTrends

"Everyone on social media tells you to “Hire the best talent” But almost nobody tells you how. If they won’t, I will… So, here’s how to hire top-notch technology talent in 7 simple steps: Step 1 - Identify your needs. Example ↳ Do you need a data scientist, software developer or cyber security expert? Step 2 - Write clear job descriptions. Example ↳ List the technical skills, experience, and qualifications required. Step 3 - Use tech hiring platforms. Example ↳ Platforms like Github, StackOverflow can prove helpful. Step 4 - Leverage employee referrals. Example ↳ Your current employees can refer skilled professionals from their network. Step 5 - Look for cultural fit. Example ↳ Does the candidate's work style and values align with your company's culture? Step 6 - Follow up promptly. Example ↳ Stay in touch with candidates post-interview to keep them engaged. Remember, hiring is not just about filling a role; it's about finding the right person who will add value to your team and align with your company's vision. Have you incorporated these steps in your hiring process? Or do you have more to add? #TechnologyHiring #BusinessConsulting"

"We're hiring" doesn't really cut the mustard these days 🥱 Candidates want MORE. They want to be excited about a new opportunity and feel confident that it's worth: A - The effort of applying for B - The risk of leaving where they are currently You need to sell the opportunity to your ideal candidates otherwise you'll be stuck, scratching your head wondering why you're getting a load of CVs that aren't even close to what you had hoped when you first listed the role. Blanket statements like "We're hiring" won't help you to attract the candidates you need to drive your business forward. People seem surprised by this though. Surely it's just putting out what the job is and the right people will find it? Nope 👎🏼 With a vast majority of candidates only passively looking i.e. just keeping an eye out in case there's something more exciting, not desperate to move jobs You have to really sell the opportunity to them to get the best of the best in front of you in an interview. Check out the video for 3 more tips to make your job advert stand out to your perfect candidates 📹🌟 Want to start sourcing the best of the best instead of scraping the barrel? 🛢️ Book a quick call with me today to find out how I can help you to fill your next data science, machine learning or data engineering role. Link in the comments ⬇️

🌟 Tip for People Recently Laid Off and Seeking Employment: Are you hesitant to share your recent layoff with your LinkedIn network? Here's a valuable insight from a recent conversation I had with a Director of Data Science: Initially hesitant, he decided to openly share news of his layoff with his LinkedIn network. Within just a few days he managed to secure several interviews, a result that pleasantly surprised him. Don't let the fear of being perceived as less valuable due to being laid off hold you back. Openly communicating your job search can significantly increase your chances of finding employment sooner. 📣 Call to Action: Please comment below with the role you're seeking or the positions you're recruiting for your team! Let's maximize our connections. Your #AI Recruiter - TalentDome Staffing #JobSearch #Networking #CareerAdvice #Support #Opportunities #TalentDomeStaffing #Recruiter #ITRecruitment #ITStaffing #ITjobs #Hiring #opentowork #Dallas

Thought I'd try this #jobhunting effort in reverse, before #recruiters look for me, I'll look for them, and let's see how that goes; 🌟 Looking for Recruiters: Who are currently hiring for New Grad Roles👨🎓 in #dataanalytics / #softwareengineering teams? 🌟 Hey, Recruiters fam! I'm Somesh Balani, your friendly neighbourhood Data enthusiast based in Boston, MA (currently). If you're on the hunt for a wizard to sprinkle some data magic or code spells into your team, look no further! With a Master of Science in Computer Science and a knack for turning numbers into gold, I've conjured up some pretty neat tricks: 👮♂️ Reduced fraud rates faster than you can say "Abracadabra!" 🤹♂️ Built reporting infrastructure smoother than a magic carpet ride. 🐰 Masterminded efforts to visualise data like pulling up a rabbit out of a hat. If you've got a role that needs a bit of sparkle and wit, I'm your wizard! Let's brew up some data potions together. Slide into my DMs or summon me up at someshbalani@icloud.com. Cheers to making magic happen! ✨🔮